Building Intelligent Applications (AB-410) Practice Test
Gana confianza para Building Intelligent Applications (AB-410). Practica los conceptos, comprende las respuestas y refuerza tus conocimientos pregunta a pregunta.
Probar una preguntaDescripción y detalles del examen
Through this practice test, you can build the skills to design, create, and automate intelligent applications. You will work with three core areas: creating a foundation for intelligent applications, creating intelligent applications, and building business application logic and automation. These topics connect to practical abilities like structuring app architecture, integrating AI services, and streamlining workflows. When you are ready, take a focused study step by working through the practice questions to identify where to deepen your understanding.
Preguntas de Muestra
Elige una respuesta y consulta la explicación para ver cómo funciona la práctica.
An administrator needs to maintain visibility of all deployments across the tenant so that deployment requests can be approved and issues troubleshooted at enterprise scale. Which feature should be used?
La respuesta correcta es A. La página de despliegue del administrador permite a los administradores mantener visibilidad a nivel de inquilino de los despliegues, aprobar solicitudes de despliegue y solucionar problemas como parte de las cargas de trabajo ALM de Power Platform. Las otras páginas abordan licencias, tickets de soporte o gobernanza de Power BI, no la gestión de despliegues.
A solutions architect is explaining why data storage solutions must continuously evolve in today's organizations. Which three demands of modern business applications should be highlighted?
Modern business applications are expected to support new business scenarios, manage new data types, and help organizations handle the growing complexity of compliance mandates. These expanding needs are why storage solutions must evolve continuously.
A professional has basic knowledge of business processes and app building but has no prior experience working with AI, copilots, or agents in solution design. For whom is this course intended?
La respuesta correcta es B. El curso está dirigido a personas que quieren construir aplicaciones inteligentes con Microsoft Power Platform y son nuevas en el uso de IA, copilotos y agentes en el diseño de soluciones. Los aprendices con una comprensión general de negocios o construcción de aplicaciones son el público ideal, no aquellos con experiencia existente en IA.
An environment admin wants to review the history of actions taken in the tenant, including actions performed by other administrators. What will this admin see in the action history?
La respuesta correcta es A. Los administradores de entorno están limitados a ver el historial de sus propias acciones, mientras que los administradores de Power Platform pueden ver las acciones realizadas por ellos mismos y por otros administradores a nivel de inquilino y de entorno/sistema.
A maker needs to model completely new business data before building an app around it. What is the recommended benefit of creating structured tables in Dataverse for this scenario?
La respuesta correcta es A. Las tablas estructuradas en Dataverse proporcionan la seguridad y escalabilidad necesarias para construir aplicaciones alrededor de los datos empresariales recién creados. El control completo del diseño es una característica de comenzar con una aplicación en blanco, y las aplicaciones de galería se generan al conectarse a tablas existentes.
Qué temas cubre este examen
Usa las ponderaciones publicadas de los dominios para planificar tu estudio. Los resultados de práctica no predicen tu puntuación en el examen de certificación.
01Build business application logic and automation
Temas
- Create cloud flows
- Create prompts and models in AI Hub
- Implement business and process logic
Objetivos de aprendizaje
- Create cloud flows: Recommend cloud flow triggers; Evaluate and recommend connectors; Manage approvals by using cloud flows; Configure cloud flow actions; Implement flow control with conditions and loops; Test and troubleshoot cloud flows
- Create prompts and models in AI Hub: Build prompts from templates or from blank; Consume a prompt in apps; Consume a prompt in cloud flows; Add knowledge to a prompt; Customize prompt settings, including models; Add inputs to a prompt; Consume an AI model in apps; Consume an AI model in cloud flows
- Implement business and process logic: Configure business rules; Configure business process flows; Configure calculated, rollup, and formula columns; Evaluate use cases for business logic
02Create a foundation for intelligent applications
Temas
- Design Microsoft Power Platform solutions by using AI-enabled tools
- Build data models
Objetivos de aprendizaje
- Design Microsoft Power Platform solutions by using AI-enabled tools: Analyze requirements to identify components and options for implementation; Evaluate built-in agents to include in the business solution; Recommend extensibility options; Recommend environment types; Apply a Microsoft Power Platform solution and ALM strategy
- Build data models: Create and edit tables in the data workspace; Create and modify standard tables; Configure table properties; Create and modify columns; Configure table relationships; Configure prompt columns; Configure row summaries; Configure public views; Configure main forms; Configure security
03Create intelligent applications
Temas
- Create model-driven apps
- Create canvas apps
Objetivos de aprendizaje
- Create model-driven apps: Create and configure forms for model-driven apps; Create and configure views for model-driven apps; Create generative pages by using natural language; Compose a model-driven app; Configure access to forms and views for model-driven apps; Configure access to model-driven apps; Create and configure model-driven app charts and dashboards
- Create canvas apps: Create a canvas app using data; Design apps for accessibility, performance, responsiveness, and usability; Automate business processes from canvas apps; Create reuseable components, including named formulas, user-defined functions, and component libraries; Manage variables and collections; Implement error handling; Test canvas apps, including using Monitor; Create a Copilot Studio agent from a canvas app